simplymathematics

`kdd_nsl.csv`

Compiled from KDDTrain+.txt and KDDTest+.txt, provided by The Canadian Institute of Cybersecurity Citation:

References: [1] M. Tavallaee, E. Bagheri, W. Lu, and A. Ghorbani, “A Detailed Analysis of the KDD CUP 99 Data Set,” Submitted to Second IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), 2009.

`truthseeker.csv`

From Features_for_Traditional_ML_Techniques.csv provided by The Canadian Institute of Cybersecurity Citation: > Sajjad Dadkhah, Xichen Zhang, Alexander Weismann, Amir Firouzi, Ali A. Ghorbani, “TruthSeeker: The Largest Social Media Ground-Truth Dataset for Real/Fake Content,” Submitted to: IEEE Transactions on Computational Social Systems.

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<title>Model Visualization</title>
	<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
	</head>
	<body>
	<h2>Linear SVM Model</h2>
	<div id="plot" style="width: 700px; height: 600px;"></div>

	[
	{
	"imdb_id": "tt0126029",
	"title": "Shrek"
	},
	{
	"imdb_id": "tt0268397",
	"title": "Jimmy Neutron: Boy Genius"
	},
	{

	[
	{
	"imdb_id": "tt0031210",
	"title": "Dark Victory"
	},
	{
	"imdb_id": "tt0031381",
	"title": "Gone with the Wind"
	},
	{

	https://www.youtube.com/watch?v=FF8y5FdbeyI
	https://www.youtube.com/watch?v=I57nIP0vc44
	https://www.youtube.com/watch?v=rbm_DBsTUEA
	https://www.youtube.com/watch?v=x4-ZK8jpjO0
	https://www.youtube.com/watch?v=b1D-gsZYsPI
	https://www.youtube.com/watch?v=kyfxGusQPjE
	https://www.youtube.com/watch?v=yOtqq3E0JNg
	https://www.youtube.com/watch?v=xKt75jUuKJY
	https://www.youtube.com/watch?v=JH6il8U3EU0
	https://www.youtube.com/watch?v=nC-qw4BkDwI

	// For format details, see https://aka.ms/devcontainer.json. For config options, see the
	// README at: https://github.com/devcontainers/templates/tree/main/src/python
	{
	"name": "Python 3",
	// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
	"image": "mcr.microsoft.com/devcontainers/python:1-3.11-bullseye",
	"features": {
	"ghcr.io/akhildevelops/devcontainer-features/pip:0": {}
	}

	// For format details, see https://aka.ms/devcontainer.json. For config options, see the
	// README at: https://github.com/devcontainers/templates/tree/main/src/ubuntu
	{
	"name": "Ubuntu",
	// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
	"image": "mcr.microsoft.com/devcontainers/base:jammy",

	// Features to add to the dev container. More info: https://containers.dev/features.
	// "features": {},